UOG testing artificial intelligence robots through DOCOMO partnership

UOG testing artificial intelligence robots through DOCOMO partnership

UOG testing artificial intelligence robots through DOCOMO partnership


The Sentry AI system monitors the campus and sends photo alerts when there is any atypical behavior
The Sentry AI system monitors behaviors on campus and sends immediate photo alerts when there is any atypical behavior

A new generation of surveillance and monitoring tools arrived at the University of Guam this summer.

For the first time, artificial intelligence, or AI, cameras are being tested in the UOG Office of Information Technology under a collaboration with NTT DOCOMO Inc. through its DOCOMO 5G Open Partner Program, which provides global businesses and organizations with the latest 5G information, test environments, and partner workshops.

Since June, the IT office has served as a field partner for two DOCOMO proof-of-concept projects to verify the company’s 5G network compatibility with different equipment and systems, including AI robots. The company opened a 5G center outside in Guam earlier this year.

 One sophisticated AI learns over time how to automatically spot suspicious behavior through a CCTV (closed-circuit television) feed, while the other recognizes and tracks who is present and when.

The University is helping DOCOMO test new AI technology which may improve the security of the campus
The University is helping NTT DOCOMO test new AI technology, which may eventually improve the security of the campus
“This collaboration with DOCOMO is an ideal fit for UOG,” said Manny B. Hechanova, UOG’s interim chief information officer. “We’re always looking to innovate, be leaders in technology, and work with our community to test new approaches that will better serve the island and beyond.”

The first application works by overlaying an AI system, developed by California-based startup company Smart Home Sentry Inc., on a live CCTV stream to study and differentiate movements. In what is known as deep learning, the Sentry AI has spent several months observing and learning “typical” behaviors in the IT office. The AI captures and flags out-of-the-ordinary situations and sends a message or photo via alerts, either through SMS texts or email, as immediately as the incident happens.

The technology, for example, could differentiate between a person walking to the office during a regular working day versus someone suspicious with a covered face or carrying a weapon or someone who otherwise shouldn’t be in an area.

For the second project, IT staff are testing the PLEN Cube, a camera robot specially programmed to track and remember people who cross its path. The facial-recognition technology, developed by the Japanese startup company PLEN Robotics Inc., is interactive and moves around a space to document who and when people are present. Dubbed as a portable personal assistant, the palm-sized robot features a smart camera and wide-ranging automation skills, including voice commands.

The goal is to test the robot as a possible attendance counter in a classroom or in other suitable situations.

The PLEN Cube is programmed to remember people who cross its path
The PLEN Cube is programmed to remember people who cross its path and could potentially be used to track attendance
The primary objective with these technologies is to verify the AI’s ability to operate on DOCOMO PACIFIC’s 5G network versus its 4G network. 5G has a lower latency, meaning it can transfer a certain amount of data between two points at a faster rate. Further, the lower latency of the 5G network allows cameras to transmit high-quality video to Sentry AI, which then recognizes people and activities with higher accuracy. For example, in addition to recognizing people by face, Sentry AI can process live video to identify people uniquely by their body shape and walking patterns, even when a face is not clearly visible.

But for UOG, the projects also serve as a trial run for possible use on campus. The PLEN Cube could be used to verify classroom attendance by teachers or exam prompters at a test site. And having an AI CCTV system could help identify potential threats around campus in real time, which would allow for quicker response times.

“With these projects, we’re getting the opportunity to explore the capabilities and benefits of the latest AI technology, which may lead us to new ways to improve the security, safety, and function of our campus,” Hechanova said.

The two proof-of-concept projects are expected to continue through January.